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Calibration of Parameters for Leaf-Stem-Cutting Model of Tuber Mustard ( Brassica juncea L.) Based on Discrete Element Method

Author

Listed:
  • Man Gu

    (Nanjing Institute of Agricultural Mechanization, Ministry of Agriculture and Rural Affairs, Nanjing 210014, China
    College of Mechanical Engineering, Henan Polytechnic Institute, Nanyang 473000, China)

  • Haiyang Shen

    (Nanjing Institute of Agricultural Mechanization, Ministry of Agriculture and Rural Affairs, Nanjing 210014, China)

  • Weiwen Luo

    (Nanjing Institute of Agricultural Mechanization, Ministry of Agriculture and Rural Affairs, Nanjing 210014, China)

  • Jie Ling

    (Nanjing Institute of Agricultural Mechanization, Ministry of Agriculture and Rural Affairs, Nanjing 210014, China)

  • Bokai Wang

    (Nanjing Institute of Agricultural Mechanization, Ministry of Agriculture and Rural Affairs, Nanjing 210014, China)

  • Fengwei Gu

    (Graduate School of Chinese Academy of Agricultural Sciences, Beijing 100083, China)

  • Shumin Song

    (Chongqing Academy of Agricultural Sciences, Chongqing 401329, China)

  • Liang Pan

    (Chongqing Academy of Agricultural Sciences, Chongqing 401329, China)

  • Zhichao Hu

    (Nanjing Institute of Agricultural Mechanization, Ministry of Agriculture and Rural Affairs, Nanjing 210014, China)

Abstract

The cutting of leaf stems is a critical step in the mechanized harvesting of tuber mustard ( Brassica juncea L.). This study focuses on the calibration of parameters for the discrete element model of mustard leaf stems to visualize the cutting process and facilitate numerical simulations. Intrinsic material properties were measured based on mechanical testing, and EDEM2022 simulation software was utilized to calibrate the model parameters. The Hertz–Mindlin (no-slip) model was employed to simulate the stacking angle of mustard leaf stems, and the contact parameters for the discrete element model were determined using a combination of two-level factorial design, steepest ascent, and CCD (central composite design) tests. The results showed that the coefficient of restitution, coefficient of static friction, and coefficient of rolling friction for the leaf stems were 0.45, 0.457, and 0.167, respectively, while for interactions between the leaf stems and the working parts, these values were 0.45, 0.55, and 0.175, respectively. Based on the Hertz–Mindlin with bonding model, the primary bonding parameters were calculated, and a BBD (Box–Behnken design) test was applied for optimization. The comparison between the simulation and experimental results showed that the relative error in the maximum shear force was within 5%, indicating that the calibrated model can serve as a reliable theoretical reference for the design and optimization of tuber mustard harvesting and cutting equipment.

Suggested Citation

  • Man Gu & Haiyang Shen & Weiwen Luo & Jie Ling & Bokai Wang & Fengwei Gu & Shumin Song & Liang Pan & Zhichao Hu, 2025. "Calibration of Parameters for Leaf-Stem-Cutting Model of Tuber Mustard ( Brassica juncea L.) Based on Discrete Element Method," Agriculture, MDPI, vol. 15(7), pages 1-19, April.
  • Handle: RePEc:gam:jagris:v:15:y:2025:i:7:p:773-:d:1626983
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    References listed on IDEAS

    as
    1. Yunfei Zhao & Zhong Tang & Shuren Chen, 2022. "Loading Model and Mechanical Properties of Mature Broccoli ( Brassica oleracea L. Var. Italica Plenck) Stems at Harvest," Agriculture, MDPI, vol. 12(10), pages 1-25, September.
    2. Kai Chen & Xiang Yin & Wenpeng Ma & Chengqian Jin & Yangyang Liao, 2024. "Contact Parameter Calibration for Discrete Element Potato Minituber Seed Simulation," Agriculture, MDPI, vol. 14(12), pages 1-20, December.
    3. Yao Hu & Wei Xiang & Yiping Duan & Bo Yan & Lan Ma & Jiajie Liu & Jiangnan Lyu, 2023. "Calibration of Ramie Stalk Contact Parameters Based on the Discrete Element Method," Agriculture, MDPI, vol. 13(5), pages 1-32, May.
    4. Xin Wang & Haiqing Tian & Ziqing Xiao & Kai Zhao & Dapeng Li & Di Wang, 2024. "Numerical Simulation and Experimental Study of Corn Straw Grinding Process Based on Computational Fluid Dynamics–Discrete Element Method," Agriculture, MDPI, vol. 14(2), pages 1-19, February.
    5. Qi Luo & Xiaopeng Huang & Jinfeng Wu & Xiaobin Mou & Yanrui Xu & Shengyuan Li & Guojun Ma & Fangxin Wan & Lizeng Peng, 2024. "Simulation Analysis and Parameter Optimization of Seed–Flesh Separation Process of Seed Melon Crushing and Seed Extraction Separator Based on DEM," Agriculture, MDPI, vol. 14(7), pages 1-21, June.
    6. Jie Zhang & Xinming Jiang & Yajun Yu, 2024. "Modeling Method of Corn Kernel Based on Discrete Element Method and Its Experimental Study," Agriculture, MDPI, vol. 14(12), pages 1-24, December.
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